Risultati della ricerca - (coding OR Decoding) (algorithmics OR (algorithm OR (algorithmssics OR (algorithm OR algorithm))))

Reducing Storage of Pretrained Neural Networks by Rate-Constrained Quantization and Entropy Coding di Conzelmann, Alexander, Bamler, Robert

Sommario: “... algorithm NNCodec. Our code is available at https://github.com/Conzel/cerwu. ...”
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NuFast-Earth: Efficient Atmospheric, Solar, and Supernova Neutrino Propagation Through the Earth di Denton, Peter B., Parke, Stephen J.

Sommario: “... neutrinos will continue to increase. To address these issues, we expand upon our previous algorithm for long...”
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Max-Utility Based Arm Selection Strategy For Sequential Query Recommendations di Parambath, Shameem A. Puthiya, Anagnostopoulos, Christos, Murray-Smith, Roderick, MacAvaney, Sean, Zervas, Evangelos

Sommario: “... of contextual multi-armed bandit algorithms. Our data model and source code are available at ~\url{https...”
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BadLabel: A Robust Perspective on Evaluating and Enhancing Label-noise Learning di Zhang, Jingfeng, Song, Bo, Wang, Haohan, Han, Bo, Liu, Tongliang, Liu, Lei, Sugiyama, Masashi

Sommario: “... and the source codes of robust LNL algorithms are available at https://github.com/zjfheart/BadLabels. ...”
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Matte Anything: Interactive Natural Image Matting with Segment Anything Models di Yao, Jingfeng, Wang, Xinggang, Ye, Lang, Liu, Wenyu

Sommario: “...Natural image matting algorithms aim to predict the transparency map (alpha-matte) with the trimap...”
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Spatial Gated Multi-Layer Perceptron for Land Use and Land Cover Mapping di Jamali, Ali, Roy, Swalpa Kumar, Hong, Danfeng, Atkinson, Peter M, Ghamisi, Pedram

Sommario: “... to both deep CNNs and ViTs. In this paper, we developed the SGU-MLP, a learning algorithm that effectively...”
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A Semantic Invariant Robust Watermark for Large Language Models di Liu, Aiwei, Pan, Leyi, Hu, Xuming, Meng, Shiao, Wen, Lijie

Sommario: “...Watermark algorithms for large language models (LLMs) have achieved extremely high accuracy...”
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MToP: A MATLAB Benchmarking Platform for Evolutionary Multitasking di Li, Yanchi, Gong, Wenyin, Zhang, Tingyu, Ming, Fei, Li, Shuijia, Gu, Qiong, Ong, Yew-Soon

Sommario: “... evolutionary algorithms (MTEAs) proposed for multitask optimization (MTO), there remains a need for a...”
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Landmark-based Localization using Stereo Vision and Deep Learning in GPS-Denied Battlefield Environment di Sapkota, Ganesh, Madria, Sanjay

Sommario: “... stereomatching algorithm, and distances to landmarks are determined by extracting the landmark depth feature...”
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How Can LLM Guide RL? A Value-Based Approach di Zhang, Shenao, Zheng, Sirui, Ke, Shuqi, Liu, Zhihan, Jin, Wanxin, Yuan, Jianbo, Yang, Yingxiang, Yang, Hongxia, Wang, Zhaoran

Sommario: “...-making problems by improving future acting policies with feedback. However, RL algorithms may require...”
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PCH-EM: A solution to information loss in the photon transfer method di Hendrickson, Aaron J., Haefner, David P., Chan, Stanley H., Shade, Nicholas R., Fossum, Eric R.

Sommario: “... Histogram Expectation Maximization (PCH-EM) algorithm is derived as a general-purpose alternative...”
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Analysing and Organising Human Communications for AI Fairness-Related Decisions: Use Cases from the Public Sector di Dankloff, Mirthe, Skoric, Vanja, Sileno, Giovanni, Ghebreab, Sennay, Van Ossenbruggen, Jacco, Beauxis-Aussalet, Emma

Sommario: “... with practitioners working on algorithmic systems in the public sector. By applying qualitative coding analysis, we...”
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Obfuscated Malware Detection: Investigating Real-world Scenarios through Memory Analysis di Hasan, S M Rakib, Dhakal, Aakar

Sommario: “... algorithms. The study focuses on the CIC-MalMem-2022 dataset, designed to simulate real-world scenarios...”
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FlightScope: An Experimental Comparative Review of Aircraft Detection Algorithms in Satellite Imagery di Ghazouali, Safouane El, Gucciardi, Arnaud, Venturini, Francesca, Venturi, Nicola, Rueegsegger, Michael, Michelucci, Umberto

Sommario: “... such as biophysical, and environmental monitoring. While deep learning algorithms are constantly evolving, they have...”
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Efficient Multi-agent Reinforcement Learning by Planning di Liu, Qihan, Ye, Jianing, Ma, Xiaoteng, Yang, Jun, Liang, Bin, Zhang, Chongjie

Sommario: “...Multi-agent reinforcement learning (MARL) algorithms have accomplished remarkable breakthroughs...”
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Accelerating Hybrid Model Predictive Control using Warm-Started Generalized Benders Decomposition di Lin, Xuan

Sommario: “... propose a hybrid MPC algorithm based on Generalized Benders Decomposition. The algorithm enumerates...”
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Machine learning evaluation in the Global Event Processor FPGA for the ATLAS trigger upgrade di Jiang, Zhixing, Hauck, Scott, Yin, Dennis, Zuo, Bowen, Carlson, Ben, Hsu, Shih-Chieh, Deiana, Allison, Narayan, Rohin, Parajuli, Santosh, Eastlack, Jeff

Sommario: “.... Currently, such filtering tasks are hand-coded implementations of standard deterministic signal processing...”
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Enabling Practical Transparent Checkpointing for MPI: A Topological Sort Approach di Xu, Yao, Cooperman, Gene

Sommario: “... and general algorithm for transparent checkpointing of MPI that is both efficient and compatible with most...”
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Performant Tridiagonal Factorization of Skew-Symmetric Matrices di Satyarth, Ishna, Yin, Chao, Matthews, Devin A., Myers, Maggie, van de Geijn, Robert, Xu, RuQing G.

Sommario: “... of correct-by-construction algorithms into correct code. Experiments verify that the resulting...”
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Random Permutation Codes: Lossless Source Coding of Non-Sequential Data di Severo, Daniel

Sommario: “... this problem through the lens of lossless source coding, also sometimes referred to as lossless compression...”
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